Resource optimization scheduling system and method for ship outfitting welding operations

By establishing a space model and conducting dual-line resource scheduling analysis in ship outfit welding operations, the problems of resource scheduling lag and spatial conflicts are solved, and resource utilization and construction efficiency are improved.

CN120373819BActive Publication Date: 2025-08-19DALIAN HONGLANG MASCH ENG CO LTD
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Patent Information

Application Number
CN202510872814.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-27
Publication Date
2025-08-19
Estimated Expiration
2045-06-27

AI Technical Summary

Technical Problem

In existing ship outfit welding operations, resource scheduling is lagging and frequent space conflicts occur, resulting in waste of resources and inefficient construction.

Method used

By establishing a ship space model, monitoring the resource status in real time, generating a mounting assembly installation sequence, and conducting dual-line resource scheduling analysis, generating real-time and rank pre-scheduling solutions to optimize resource utilization and construction rankings.

Benefits of technology

Real-time resource status monitoring and dynamic scheduling are realized, spatial conflicts are optimized, resource utilization efficiency and construction efficiency are improved, and resource waste and delays are reduced.

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Abstract

The present invention discloses a resource optimization scheduling system and method for ship outfitting welding operations, which relates to the field of intelligent management technology. The system includes: a ship space model construction module, which is used to establish a ship space model and associate it with a dynamically updated installation resource library to monitor resource locations and status in real time; a construction sequence analysis module, which is used to generate an outfitting installation sequence and determine the construction sequence; a dual-line resource scheduling analysis module, which is used to perform scheduling analysis and generate real-time scheduling plans and sequence pre-scheduling plans. A dual-line resource management module is used to perform resource scheduling of the current component and resource preparation of sequence components. The present invention solves the technical problems of the existing ship outfitting welding operations, such as delayed resource scheduling and frequent spatial conflicts, which lead to waste of resources and low construction efficiency, and achieves the technical effect of optimizing spatial conflicts and scheduling sequences through real-time resource status monitoring and dynamic scheduling, thereby improving resource utilization efficiency and construction efficiency.
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Description

Technical Field

[0001] The present invention relates to the field of intelligent management technology, and in particular to a resource optimization scheduling system and method for ship outfitting welding operations. Background Art

[0002] Ship outfitting and welding operations are a critical process in shipbuilding, involving extensive component installation and welding, typically performed after the hull structure is complete. Traditional ship outfitting scheduling methods rely heavily on manual experience, failing to monitor resource status in real time and dynamically adjust the order of operations. Furthermore, due to limited space on board, multiple tasks often occur simultaneously or in adjacent spaces, leading to resource contention and space conflicts. This can lead to low construction efficiency, delays, and even safety hazards. Summary of the Invention

[0003] The present application provides a resource optimization scheduling system and method for ship outfitting welding operations, which is used to solve the technical problems of delayed resource scheduling and frequent spatial conflicts in existing ship outfitting welding operations, resulting in resource waste and low construction efficiency.

[0004] In a first aspect of the present application, a resource optimization and scheduling system for ship outfitting welding operations is provided, the system comprising: a ship space model construction module for establishing a ship space model, the ship space model being associated with a dynamically updated installation resource library, the installation resource library containing dynamic spatial positions and status information of various resources; a construction sequence analysis module for numbering various outfitting parts according to an installation order according to a welding installation process, and positioning them in the ship space model to generate an outfitting part installation sequence, wherein a construction sequence relationship exists between the outfitting parts in the outfitting part installation sequence; a dual-line resource scheduling analysis module for selecting a first target component based on the outfitting part installation sequence, performing a dual-line resource scheduling analysis in the ship space model, and generating a real-time resource scheduling plan and a sequence resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component; and a dual-line resource management module for performing resource scheduling management of the current component and resource preparation of the sequence component based on the real-time resource scheduling plan and the sequence resource pre-scheduling plan.

[0005] The second aspect of the present application provides a resource optimization scheduling method for ship outfitting welding operations, the method comprising: establishing a ship space model, the ship space model being associated with a dynamically updated installation resource library, the installation resource library containing dynamic spatial position and status information of various resources; numbering each outfitting part according to the installation order according to the welding installation process, and positioning them in the ship space model to generate an outfitting part installation sequence, wherein a construction sequence relationship exists between each outfitting part in the outfitting part installation sequence; based on the outfitting part installation sequence, selecting a first target component, performing a two-line resource scheduling analysis in the ship space model, generating a real-time resource scheduling plan and a sequence resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component; based on the real-time resource scheduling plan and the sequence resource pre-scheduling plan, performing resource scheduling management of the current component and resource preparation of the sequence component respectively.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The resource optimization and scheduling system and method for ship outfitting welding operations provided in this application relate to the field of intelligent management technology. A ship space model construction module monitors resource status in real time, and a construction sequence analysis module generates an outfitting installation sequence. A dual-line resource scheduling analysis module schedules based on the installation sequence, generating a real-time and sequence pre-scheduling plan. A dual-line resource management module manages resource scheduling for current and sequence components according to the scheduling plan. This solves the technical problem of delayed resource scheduling and frequent spatial conflicts in existing ship outfitting welding operations, resulting in resource waste and low construction efficiency. This system achieves the technical effect of optimizing spatial conflicts and scheduling sequences through real-time resource status monitoring and dynamic scheduling, thereby improving resource utilization efficiency and construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic diagram of the structure of a resource optimization scheduling system for ship outfitting welding operations provided in an embodiment of the present application;

[0010] Figure 2 A flow chart of a resource optimization scheduling method for ship outfitting welding operations provided in an embodiment of the present application.

[0011] Description of the accompanying drawings: ship space model construction module 10, construction sequence analysis module 20, dual-line resource scheduling analysis module 30, dual-line resource management module 40. DETAILED DESCRIPTION

[0012] The present application provides a resource optimization scheduling system and method for ship outfitting welding operations, which is used to solve the technical problems of delayed resource scheduling and frequent spatial conflicts in existing ship outfitting welding operations, resulting in resource waste and low construction efficiency.

[0013] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0014] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] Example 1, as Figure 1 As shown, the present application provides a resource optimization scheduling system for ship outfitting welding operations, the system comprising:

[0016] The ship space model building module 10 is used to build a ship space model. The ship space model is associated with a dynamically updated installation resource library, and the installation resource library contains dynamic spatial position and status information of various resources.

[0017] Furthermore, in the ship space model construction module 10, the ship space model is associated with a dynamically updated installation resource library, and is further configured to perform the following steps:

[0018] P11: Based on the IoT association module, the dynamic spatial position and status information of each installation resource are obtained in real time. The status information includes the current resource usage status, remaining available time, maintenance cycle and scheduling priority level; P12: According to the dynamic fluctuation curve of the dynamic spatial position and status information, the active fluctuation points are captured, and the dynamic spatial position and status information of the active fluctuation points are extracted, and transmitted in real time through the resource information transmission link to perform real-time dynamic updates on the installation resource library.

[0019] It should be understood that the ship spatial model construction module 10 of the present application is used to establish a three-dimensional spatial model of ship outfitting operations and associate it with a dynamically updated installation resource library to ensure that the spatial location and status information of all resources are accurately reflected in the model in real time. The core task of this module is to obtain dynamic data of installation resources in real time through Internet of Things technology, and to monitor and update the status of resources in real time in combination with dynamic fluctuation curves, ultimately providing reliable data support for resource scheduling and operation planning.

[0020] For example, within the ship spatial model construction module 10, the IoT-related module is integrated with multiple sensor devices (such as position sensors, temperature and humidity sensors, and RFID tags). Each installed resource, including welding machines, welders, and gas cylinders, is equipped with sensors that provide real-time feedback to the system regarding their dynamic spatial location and status via wireless signals or wired networks. This information includes each resource's current usage status (e.g., whether the equipment is in use, whether the welder is busy, etc.), remaining available time (i.e., the remaining time the resource will be available), maintenance cycle (whether the equipment is currently undergoing maintenance), and scheduling priority level (e.g., prioritizing resources based on urgency or importance). All of this information is transmitted in real time to the central data processing system via the IoT module.

[0021] Next, to achieve accurate dynamic updates of the installed resource library, the dynamic fluctuation curve of each resource's dynamic spatial location and status information is further analyzed. A dynamic fluctuation curve is formed by visualizing the changes in resource status information over time, and can intuitively reflect the changing trends of resource status. For example, the dynamic spatial location and status information of installed resources is collected through the IoT-related module. After preprocessing this data, a dynamic fluctuation curve is generated. This curve uses time as the horizontal axis and resource status parameters (such as usage status and remaining available time) as the vertical axis. By plotting the changing trends of these parameters over time, a dynamic fluctuation curve is formed, converting complex dynamic data into intuitive graphical information for subsequent analysis.

[0022] After the fluctuation curve is generated, the identification of active fluctuation points is performed. Specifically, active fluctuation points refer to moments when the resource status changes frequently and fluctuates violently. These points usually represent turning points in resource usage or idleness. To this end, active fluctuation points on the curve can be identified by setting a threshold (such as a threshold for the rate of change of resource status parameters). The slope of the curve at each time point (i.e., the rate of change of the status parameter) is calculated and compared with the preset threshold. When the slope exceeds the threshold, the point is determined to be an active fluctuation point. For example, when the remaining available time of a resource drops sharply in a short period of time, or when a resource suddenly changes from an idle state to an in-use state, these points will be identified as active fluctuation points. Feature information of these points is further extracted, including dynamic spatial location and status information.

[0023] The information of these active fluctuation points will be transmitted to the installation resource library in real time through the resource information transmission link (such as a dedicated data transmission channel or middleware system) for dynamic update to ensure that the data in the resource library is always kept up to date, providing accurate and real-time data support for subsequent scheduling management.

[0024] The construction sequence analysis module 20 is used to number each outfitting component in the installation order according to the welding installation process, and locate them in the ship space model to generate an outfitting component installation sequence. In the outfitting component installation sequence, there is a construction sequence relationship between each outfitting component.

[0025] Specifically, the main task of the construction sequence analysis module 20 is to number and locate each outfitting component according to the welding installation process, and generate an outfitting component installation sequence with a construction sequence relationship.

[0026] First, based on the ship's welding and installation process, the entire outfitting operation is divided into multiple small construction tasks, each corresponding to a specific outfitting component. For example, one outfitting component might be a ship's pipe bracket, while another might be a cabin wall panel. During this step, the system assigns a number to each outfitting component based on the order in which they are welded and installed. These numbers strictly follow the sequence of the welding and installation process, ensuring that the construction sequence of each task meets technical requirements and providing clear guidance for subsequent scheduling and execution.

[0027] Next, each outfitting piece is associated with the ship's spatial model and its specific spatial location is determined within the model. This process involves parsing the ship's design drawings and accurately mapping the specific installation location of each outfitting piece to the 3D spatial model. For example, a bracket might be located within a certain compartment of the ship. By identifying and parsing the design drawings, the bracket's location is annotated within the 3D spatial model. Using the spatial positioning function, spatial coordinates are automatically generated for each outfitting piece, ensuring that these coordinates are consistent with the overall ship layout, facilitating subsequent resource scheduling and construction tracking.

[0028] Then, through a comprehensive analysis of spatial location and construction process, an installation sequence is generated for all outfitting parts. The outfitting parts installation sequence is a list with a clear construction sequence relationship, in which the installation order of each outfitting part is closely related to the predecessor task it depends on. Based on the construction requirements, the system determines which outfitting parts must be installed first, which can be operated in parallel, and which need to be installed after other outfitting parts are completed. For example, the cabin wall panels can only be installed after the hull frame is completed; and some parts that can be constructed in parallel, such as brackets and pipes, can be carried out at the same time, but they also need to be reasonably allocated according to spatial location and resource scheduling.

[0029] By generating a sequence containing the installation order of all outfitting parts and locating the positions of these outfitting parts in the spatial model, basic data can be provided for subsequent resource scheduling, construction path optimization, and work sequence adjustment, ensuring that welding operations are carried out in the correct order and logic, thereby improving work efficiency and construction safety.

[0030] The dual-line resource scheduling analysis module 30 is used to select a first target component based on the outfitting installation sequence, perform a dual-line resource scheduling analysis in the ship space model, and generate a real-time resource scheduling plan and a sequence resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component.

[0031] Furthermore, when performing dual-line resource scheduling analysis in the ship space model, the dual-line resource scheduling analysis module is further configured to perform the following steps:

[0032] P31: The dual-line resource scheduling analysis includes two parallel generation processes of scheduling paths: main scheduling path construction and priority pre-scheduling path prediction; P32: Based on the ship space model, the spatial movement line analysis and resource scheduling matching of the first target component, as well as the installation pre-analysis of the first priority component, are performed to generate a real-time resource scheduling plan and a priority resource pre-scheduling plan; wherein, the first target component is an independent construction component or a parallel construction component.

[0033] Optionally, the task of the dual-line resource scheduling analysis module 30 is to select the first target component based on the outfitting installation sequence, and perform dual-line resource scheduling analysis in the ship space model to generate a real-time resource scheduling plan and a sequential resource pre-scheduling plan.

[0034] First, the core of dual-track resource scheduling analysis is the simultaneous construction of two parallel scheduling paths: a primary scheduling path and a prioritized pre-scheduled path. The primary scheduling path refers to the resource scheduling path required for the current task, while the prioritized pre-scheduled path provides a resource pre-scheduled analysis for subsequent tasks. The parallel generation of the primary and prioritized pre-scheduled paths ensures the system can proactively identify and mitigate potential resource conflicts while optimizing the overall construction schedule.

[0035] In the process of dual-line resource scheduling analysis, the first target component is first selected in the outfitting installation sequence, and spatial dynamic line analysis and resource scheduling matching are performed. The first target component is the current target outfitting, and can also refer to the first-order outfitting in the outfitting installation sequence. Spatial dynamic line analysis refers to the detailed planning of the installation path of the first target component in the ship space model to ensure that it will not collide or interfere with other components or structures during transportation and installation. For example, the target component may need to pass through multiple spatial areas or around equipment, so it is necessary to analyze the construction sequence and accessibility of each path segment. Resource scheduling matching is to select appropriate resources from the installation resource library based on the installation requirements of the first target component, and reasonably arrange the allocation and scheduling of resources based on the dynamic spatial position and status information of the resources.

[0036] The system also performs a pre-installation analysis of the first-priority component. This analysis focuses on the next component to be installed and predicts its resource and space requirements. This analysis ensures that once the first target component is installed, the second target component can proceed smoothly to the construction phase without being constrained by space or resources. By pre-routing the components in the order of priority, potential conflicts can be identified and resolved in advance, ensuring continuous and efficient scheduling.

[0037] Based on the resource scheduling analysis of the first-target component and the prioritized components, the system generates two scheduling plans: a real-time resource scheduling plan and a prioritized resource pre-scheduling plan. The real-time resource scheduling plan is updated in real time, scheduling based on current resource usage and adjusting promptly to changes in spatial traffic flow. The prioritized resource pre-scheduling plan plans resource allocation for future tasks in advance, ensuring full resource utilization and avoiding idle resources or conflicts.

[0038] Through this process, the dual-line resource scheduling analysis module 30 can ensure that each task in the ship outfitting welding operation can be carried out under appropriate time, space and resource conditions, thereby maximizing construction efficiency, reducing resource waste, and improving the safety and smoothness of the operation.

[0039] Furthermore, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps when performing spatial dynamic line analysis and resource scheduling matching of the first target component:

[0040] P32-1: Obtain the installation location information and resource requirement information of the first target component; P32-2: Based on the resource requirement information, traverse the installation resource library to perform resource matching and generate an alternative resource set, wherein the alternative resource set includes multiple alternative resources whose status values meet the resource status threshold; P32-3: Based on the ship space model, traverse the alternative resource set to simulate the construction route and output multiple alternative construction routes; P32-4: Based on the multiple alternative construction routes, evaluate the path crossing density, traffic efficiency, safety isolation and scheduling cost, and output a construction route score set; P32-5: Based on the construction route score set, extract the optimal construction route, bind the alternative resources, and generate the real-time resource scheduling plan.

[0041] Specifically, when the dual-line resource scheduling analysis module performs spatial movement analysis and resource scheduling matching for the first target component, it first extracts the first target component's installation location information from the ship's spatial model, including its specific coordinates within the ship, the compartment it is located in, and its relative position to other components. Simultaneously, it obtains information on the component's resource requirements, such as the type, quantity, and specifications of the required welding equipment, as well as the type and amount of welding materials. This information forms the basis for subsequent resource matching and movement planning.

[0042] Next, based on the resource requirements of the first target component, the installation resource library is traversed to retrieve all resources that meet the requirements. Resources in the installation resource library contain dynamic spatial location and status information, such as current usage status, remaining availability, maintenance cycle, and scheduling priority. The module sets resource status thresholds (such as availability and remaining lifespan) to filter out resources that meet these thresholds and generate a candidate resource set. This set contains multiple candidate resources, providing resource options for subsequent construction route simulation.

[0043] Once the candidate resource set is generated, the system begins construction route simulation. Based on the vessel's spatial model, the system simulates the path required to transport resources from their current location to the first target component installation location. Taking into account factors such as internal vessel passageways, obstacles, and other construction activities, the system generates multiple alternative construction routes that can be scheduled under different conditions, providing a variety of options.

[0044] Next, these alternative construction routes are evaluated. First, the crossing density of each path is calculated to assess whether the area traversed by the route involves other construction activities or resource transportation. The higher the crossing density, the greater the potential conflict risk. Second, the path's traffic efficiency is evaluated, calculating the resource transportation time along the route, considering the impact of factors such as channel width and turning radius on transportation speed. Safety isolation is calculated, analyzing the distance between the route and dangerous areas within the ship (such as high-voltage equipment and flammable material storage areas) to ensure safety during resource transportation. Finally, the scheduling cost of each route is calculated, taking into account factors such as resource transportation distance, required equipment energy consumption, and human resource investment. Based on the evaluation results of the above indicators, the module generates a score for each alternative construction route, forming a set of construction route scores. The higher the score, the better the overall performance of the route.

[0045] The module extracts the highest-scoring construction route from the set of construction route scores and defines it as the optimal one. It then binds the candidate resources corresponding to this route to the first target component, clarifies resource allocation and usage plans, and generates a real-time resource scheduling plan. This plan details resource transportation routes, schedules, construction sequences, and other information to ensure efficient and safe welding of the first target component.

[0046] Furthermore, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps when performing the pre-installation analysis of the first-priority component:

[0047] P32-6: Extract the next-priority component of the first target component as the first-priority component; P32-7: Based on the spatial location information and construction process information of the first-priority component, perform spatial movement line pre-analysis and resource pre-matching to generate an initial pre-scheduling plan; P32-8: Perform cross-interference analysis on the first target component and the first-priority component, and extract the resource interference vector of the first target component to the first-priority component; P32-9: Based on the resource interference vector, optimize the initial pre-scheduling plan to generate the priority resource pre-scheduling plan.

[0048] Optionally, when performing the pre-installation analysis of the first-priority component, the dual-line resource scheduling analysis module performs the following detailed steps:

[0049] First, the next-highest priority component of the first target component is extracted and designated as the first-priority component, ensuring the consistency and rationality of the sequential analysis and accurately identifying the components that need to be installed later. At this point, the installation of the first target component is not yet complete, and the system automatically adjusts and determines the next-highest priority construction task based on the target component's installation progress to ensure efficient transition.

[0050] Next, based on the spatial location information and construction process information of the first-priority component, the component is pre-analyzed for spatial movement and pre-matched for resources. Spatial movement pre-analysis involves simulating the installation path of the first-priority component to ensure that resources do not conflict with the construction paths of other components during the installation process, avoiding congestion in the construction space or unsmooth movement. At this point, the system analyzes the optimal installation route for the component based on the known spatial location and work area, and takes into account the availability of existing resources to pre-match resources, that is, to allocate the required resources such as welders and welders to the component in advance. Through the spatial model, the path for resources to reach the work point, as well as the required time and spatial capacity, is calculated to generate an initial pre-scheduling plan.

[0051] Next, a cross-interference analysis is performed on the first target component and the first-priority component to extract the resource interference vector. The core purpose of the cross-interference analysis is to evaluate the possible resource conflicts between the first target component and the first-priority component, including spatial overlap, resource usage period conflicts, etc. The system establishes a resource interference vector model based on the sequence of installation tasks of the two components, the construction route, and the required resources, and quantifies their mutual influence in spatial and temporal dimensions. The parameters contained in the interference vector, such as the degree of resource usage overlap, the degree of temporal intersection, and spatial occupancy conflicts, are quantified into specific values to provide a basis for subsequent optimization work.

[0052] Next, based on the extracted resource interference vector, the initial pre-scheduling plan is optimized to generate a priority resource pre-scheduling plan. This optimization process mainly adjusts the scheduling plan of the first-priority component to reduce or eliminate resource interference with the first target component. During the optimization process, the system adjusts the resource allocation, installation time and spatial path of the first-priority component based on the analysis results of the interference vector to ensure that the priority tasks can be smoothly connected and avoid construction delays due to conflicts or interference. For example, if the first target component and the first-priority component share the same channel, the module may adjust the construction route, arrange different transportation times for the two components, or find alternative routes to avoid transportation conflicts. For conflicts in the usage time of shared equipment, the module may reallocate the equipment usage time or find backup equipment.

[0053] Through this series of steps, the dual-line resource scheduling analysis module can not only plan the resource allocation and scheduling of the first-priority components in advance, but also adjust the scheduling plan in a timely manner through analysis of interference vectors to ensure the smooth execution of the entire ship outfitting welding operation, thereby improving operational efficiency and safety.

[0054] Furthermore, when performing cross-interference analysis on the first target component and the first-priority component and extracting the resource interference vector of the first target component on the first-priority component, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps:

[0055] P32-81: Based on the construction time overlap, spatial traffic line overlap and resource usage conflict, a resource interference vector model is constructed; P32-82: Using the real-time resource usage status in the installation resource library, combined with the resource usage data of the first target component, the interference parameters of the resource interference vector model are quantified, and a multidimensional interference indicator set is output; P32-83: Based on the multidimensional interference indicator set, combined with the initial pre-scheduling plan, key conflict nodes are marked and interference priorities are sorted to generate the resource interference vector.

[0056] In a possible embodiment of the present application, when performing cross-interference analysis on the first target component and the first-priority component, the resource interference vector of the first target component on the first-priority component is extracted, and the dual-line resource scheduling analysis module 30 performs detailed processing according to the following steps:

[0057] First, a resource interference vector model is constructed based on the degree of construction time overlap, spatial traffic line overlap, and resource usage conflict. Construction time overlap evaluates whether there is an intersection in the operations of the first target component and the first-priority component within the same time period, that is, whether the construction time of the two components overlaps. The longer the overlapping time, the greater the probability of conflict. Spatial traffic line overlap refers to whether the installation paths of the two components intersect. Especially when the working area is limited, the overlap of the traffic lines of the two tasks will lead to a conflict in spatial resources. Resource usage conflict evaluates whether the two components use the same resources within the same time period. If there is reused equipment or workers, the conflict degree will increase. By combining these three indicators, a resource interference vector model is established to quantify and describe the potential interference relationship between the two components.

[0058] Next, the real-time resource usage status in the installation resource library is used in combination with the resource usage data of the first target component to quantify each interference parameter. For example, by comparing the construction schedules of the two components, the duration and frequency of time overlap are calculated and converted into a quantitative indicator of construction time overlap; using the ship space model, the construction lines of the two components are analyzed, the length and proportion of line overlap are calculated, and this is converted into a quantitative indicator of spatial line overlap; based on the resource usage status in the installation resource library, the competition between the two components for shared resources is counted, the number and severity of conflicts are calculated, and this is converted into a quantitative indicator of resource usage conflict. Finally, the module integrates these quantitative indicators into a multidimensional interference indicator set, each indicator corresponding to a specific interference parameter, which comprehensively reflects the potential interference of the first target component on the first-priority component.

[0059] Then, based on the above-mentioned multi-dimensional interference index set and combined with the initial pre-scheduling plan, we start marking the key conflict nodes and sorting the interference priorities. Key conflict nodes refer to the time points or spatial points where resource conflicts are most serious during the scheduling process. The system assigns priorities to these conflict nodes according to their severity, and gives priority to resolving the nodes with the most serious conflicts. For example, based on the quantified interference indicators, the main conflict nodes in terms of construction time, spatial movement lines and resource utilization are identified. For example, if the construction movement lines of two components overlap in a narrow passage, and the traffic efficiency of the passage is low, the passage is marked as a key conflict node. According to the numerical size and importance of the interference indicators, the priority of each conflict node is sorted. Conflict nodes with higher priorities represent interferences that have a greater impact on construction progress and resource utilization, and need to be resolved first.

[0060] Finally, the marked key conflict nodes and their priority information are integrated into a resource interference vector. This vector not only describes the type and extent of the interference but also identifies the conflict points that require priority resolution. This provides detailed interference information and adjustment basis for subsequent pre-scheduling optimization, ensuring that conflicts can be effectively reduced during the subsequent construction process, improving resource utilization efficiency and controllability of the construction schedule.

[0061] Furthermore, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps:

[0062] P31a: The outfitting installation sequence includes independent construction components and parallel construction components; P32a: For the independent construction components, independent space movement line analysis and resource scheduling matching are performed to generate an independent construction scheduling plan; P33a: For the parallel construction components, cross-operation process organization is performed, and based on the generated partial cross-construction organization process, cross-space movement line analysis and resource scheduling matching are performed to generate a cross-process scheduling plan.

[0063] Optionally, in the dual-line resource scheduling analysis module 30 , in addition to the previous dual-line scheduling analysis process, further scheduling optimization for independent construction components and parallel construction components is also included.

[0064] First, the module identifies independent and parallel construction components within the outfitting installation sequence. Independent construction components are those that can be installed independently, without requiring coordination with other components. Parallel construction components are those that require simultaneous construction with other components, creating overlapping operations. This identification process is based on factors such as the outfitting component's construction process requirements, installation location, and spatial relationship with other components.

[0065] Next, the module performs independent spatial flow analysis and resource scheduling for the independent construction components. Specifically, the module first extracts the independent construction component's installation location information from the ship's spatial model, including its specific coordinates within the ship, the compartment in which it is located, and its relative position to other structures. Then, based on the component's resource requirements (such as the required equipment type, material type, and quantity), it matches resources within the installation resource library, selecting resources that meet the requirements and are in good condition. Next, the module uses the ship's spatial model to plan the optimal transportation route from the resource storage location to the independent construction component's installation location, taking into account factors such as internal passageways, obstacles, and existing construction activities to ensure a smooth and safe transportation process. Finally, combining the resource transportation and construction times, the module generates an independent construction scheduling plan that clearly defines resource allocation, transportation routes, and construction schedules, ensuring efficient and independent welding operations for the independent construction components.

[0066] The module then implements cross-operation process organization for parallel construction components. This involves a detailed analysis of the construction techniques and processes for these components, determining the cross-operation sequence and coordination requirements between them. The module first generates a cross-operation organization process based on the installation locations and construction techniques of the parallel construction components, clarifying the sequence and timing of each component's cross-operation. For example, some components may need to be partially installed first to provide space or interfaces for the construction of other components; or the construction of certain components may need to be synchronized within a specific timeframe to ensure overall structural stability and construction quality.

[0067] Based on the generated cross-section construction organization process, further cross-spatial movement analysis and resource scheduling matching are conducted. The spatial movement of parallel construction components during cross-operation is analyzed, and the overlap and intersection of each component's transportation routes are considered. Transportation routes are optimized to reduce spatial conflicts. At the same time, based on the cross-construction organization process, the resources required for each component are uniformly scheduled and matched. This means that appropriate resources are allocated to each parallel component, ensuring that resources are not reused or conflicting in time, and generating a cross-process scheduling plan. This plan details the resource allocation, transportation routes, and construction schedule of parallel construction components during cross-operation, ensuring that parallel construction components can complete welding operations efficiently and collaboratively.

[0068] Through this series of steps, the dual-line resource scheduling analysis module can generate dedicated scheduling plans for independent construction components and parallel construction components respectively, thereby achieving optimal resource allocation for the entire ship outfitting welding operation, avoiding operational conflicts, improving construction efficiency, and maximizing the utilization of space resources.

[0069] Furthermore, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps when performing cross-space dynamic line analysis and resource scheduling matching:

[0070] P33-1a: Based on the spatial layout of the construction area and the sequence of construction tasks of the parallel construction components, a divisional organization process for cross-operations is generated; P33-2a: Based on the divisional cross-construction organization process, the spatial overlap points and conflict points of different components in the work area are identified, and a cross-movement influence matrix is constructed; P33-3a: Based on the cross-movement influence matrix, combined with the real-time resource usage data in the installation resource library, resource scheduling matching and cross-construction movement line optimization are performed to generate a cross-process scheduling plan.

[0071] It should be understood that when the dual-line resource scheduling analysis module 30 performs the cross-space dynamic line analysis and resource scheduling matching, in order to cope with the complexity of parallel construction components, the module further performs the following detailed steps:

[0072] First, before beginning the cross-space movement line analysis, the module first generates a sub-organization process for cross-operations based on the spatial layout of the construction areas of the parallel construction components and the sequence of construction tasks. Specifically, the module analyzes the installation location, construction scope, and spatial relationship with other components of each parallel construction component, and determines the construction sequence of each component in combination with the construction process requirements. For example, some components may need to be partially installed first to provide a supporting structure, while other components need to be subsequently installed on this basis. In this way, the module breaks down the entire cross-operation process into multiple orderly sub-construction tasks, and clarifies the construction scope and time nodes of each task, thereby generating a detailed sub-construction organization process.

[0073] Next, based on the generated cross-operation sub-organization process, the module analyzes the spatial overlap and conflict points of each component's work area. Using the vessel's spatial model, the module evaluates the work paths of each component and checks whether the paths overlap, share resources, or occupy the same spatial area. If two components' work paths overlap or require the same resources (such as welding equipment or cranes) at the same time, these spatial and resource conflict points are marked. These spatial overlap and conflict points are recorded, and a cross-flow impact matrix is constructed. This matrix quantifies the degree of spatial and resource conflict between each pair of components.

[0074] For example, assume that the spatial paths and resource requirements of components A, B, and C are as follows:

[0075] Table 1: Resource requirements and paths

[0076]

[0077] The conflict assessment is performed based on the resource requirements and paths of each build group as follows:

[0078] Component A and Component B:

[0079] Spatial conflict: The two operation paths intersect, so there is a spatial conflict.

[0080] Resource conflict: Both require welding equipment and workers, resulting in resource conflict.

[0081] Conflict intensity: Both spatial and resource conflicts are severe, so a higher conflict value of 3 is assigned.

[0082] Component A and Component C:

[0083] Spatial conflicts: The operation paths do not overlap, so there are no spatial conflicts.

[0084] Resource conflict: Both require a crane, so there is a resource conflict.

[0085] Conflict intensity: If resource conflict exists but space conflict does not exist, a medium conflict value of 2 can be assigned.

[0086] Component B and Component C:

[0087] Spatial conflicts: The operation paths do not overlap, so there are no spatial conflicts.

[0088] Resource conflict: Both require a crane, so there is a resource conflict.

[0089] Conflict intensity: If resource conflict exists but space conflict does not exist, a medium conflict value of 2 can be assigned.

[0090] Based on the above evaluation results, the following cross-movement impact matrix is constructed:

[0091]

[0092] 0 in the matrix means that the component has no conflict with itself; 3 means that there is a relatively serious conflict between component A and component B (both space and resource conflicts); 2 means that there is a moderate resource conflict between component A and component C or between component B and component C, but no space conflict.

[0093] Next, based on the constructed cross-movement impact matrix and combined with the real-time resource usage data in the installation resource library, resource scheduling matching and cross-construction movement optimization are carried out. Resources are prioritized by the degree of conflict between each pair of parallel construction components in the cross-movement impact matrix. For example, if there is a high conflict intensity between component A and component B, the system can try to adjust their operation sequence or assign them different time periods to avoid using the same resource at the same time. For the conflict between component A and component C, the conflict may be reduced by adjusting the order in which the cranes are used. Finally, a cross-process scheduling plan is generated, which ensures that multiple parallel construction components can operate efficiently and safely within a limited space, avoiding path overlap and resource conflicts. This method not only improves resource utilization, but also effectively avoids construction delays and resource waste caused by operation conflicts.

[0094] Furthermore, the dual-line resource scheduling analysis module 30 is further configured to perform the following steps when performing resource scheduling matching and cross-construction route optimization:

[0095] P33-31a: Based on the cross-movement line impact matrix and combined with the real-time resource usage load data in the installation resource library, the priorities of the cross-tasks are adjusted to generate a task priority sequence; P33-32a: According to the task priority sequence, the cross-construction movement line is optimized in the ship space model to generate the cross-process scheduling plan.

[0096] Specifically, in the process of resource scheduling matching and cross-construction route optimization by the dual-line resource scheduling analysis module 30, in order to further optimize the scheduling plan for cross-operations, the module also performs the following detailed steps:

[0097] First, the module prioritizes intersecting tasks based on a cross-flow impact matrix and real-time resource usage data from the installation resource library. Specifically, the cross-flow impact matrix records the spatial overlaps and conflicts between different components, as well as the potential impact of these conflicts on construction progress and resource utilization. The module analyzes this data, combined with real-time resource usage data from the installation resource library (such as current equipment utilization, material inventory levels, and personnel allocation), to assess the importance and urgency of each intersecting task. The module prioritizes intersecting tasks that involve critical resources, are located on the critical construction path, or have a significant impact on subsequent construction tasks. For example, if an intersecting task requires a scarce piece of critical equipment with a low current usage load, and its completion is crucial for the execution of multiple subsequent construction tasks, it will be given a higher priority. This generates a task priority sequence, clarifying the execution order of intersecting tasks during the construction process.

[0098] Next, the module optimizes cross-construction routes within the vessel's spatial model based on the task priority sequence. The vessel's spatial model is a precise three-dimensional virtual model that reflects the ship's internal structural layout and spatial relationships. The module uses this model, combined with the task priority sequence, to optimize the construction routes for each cross-construction task. This optimization process considers multiple factors, including task priority, the real-time location of resources, the length and complexity of the construction path, and spatial relationships with other tasks. For high-priority tasks, the module prioritizes them by planning the optimal construction route to ensure their rapid and efficient completion. When planning routes, the module strives to avoid conflicts with the construction paths of other tasks while also considering resource transportation efficiency and safety. For example, for a high-priority welding task, the module might select a shorter, obstacle-free transportation route for it, while adjusting the construction routes of other lower-priority tasks to mitigate potential spatial conflicts. This approach generates a cross-process scheduling plan that details the construction sequence, resource allocation, transportation routes, and timelines for each cross-construction task, ensuring the efficient and orderly execution of the entire cross-construction process.

[0099] By adjusting priorities and optimizing cross-movement routes, the system ensures that tasks are arranged in a reasonable order and priority, and minimizes operational interference and resource conflicts during the construction process.

[0100] The dual-line resource management module 40 is used to perform resource scheduling management of the current component and resource preparation of the priority component based on the real-time resource scheduling solution and the priority resource pre-scheduling solution.

[0101] Optionally, the task of the dual-line resource management module 40 is to perform resource scheduling management of the current component and resource preparation of the priority component based on the generated real-time resource scheduling scheme and priority resource pre-scheduling scheme.

[0102] First, the dual-line resource management module 40 schedules and manages the resources for the current component according to the real-time resource scheduling plan. The module extracts real-time resource data from the installation resource library and allocates resources to the component currently under construction according to the resource allocation plan specified in the scheduling plan. This includes various resources such as welding equipment, materials, tools, and personnel. For example, if the real-time resource scheduling plan requires a specific type of welding equipment to be allocated to the current component at a specific time, the module will use the ship space model to plan the transportation route of the resources to ensure that the resources can reach the construction location efficiently and safely.

[0103] During resource transportation, the module uses IoT technology to monitor the dynamic location and status of resources in real time to ensure smooth transportation. If any unexpected events occur during transportation (such as equipment failure or route congestion), the transportation route is adjusted or resources are reallocated to minimize any impact on the construction schedule. The module also monitors the construction progress of the current component in real time to ensure that construction proceeds according to the planned schedule. If any deviations occur, the module analyzes the cause and takes appropriate measures to adjust the progress. For example, if a welding task is delayed due to equipment failure, the module prioritizes the deployment of backup equipment and adjusts the resource allocation and construction sequence of subsequent tasks accordingly to ensure that the overall construction progress is not affected.

[0104] At the same time, resources for the prioritized components are prepared according to the prioritized resource pre-scheduling plan. Based on this pre-scheduling plan, the module pre-selects resources from the installation resource library that meet the prioritized component's requirements and pre-allocates them. This step ensures that the prioritized component quickly obtains the required resources after the current component's construction is completed, reducing waiting time. For example, if the prioritized resource pre-scheduling plan specifies that a certain welding equipment will be used for the next phase of prioritized component construction, the module will pre-allocate this equipment to the prioritized component and ensure its availability. The module monitors the status of pre-allocated resources in real time to ensure they are in good working order. For resources requiring regular maintenance, such as welding equipment, the module schedules maintenance work in advance based on their maintenance cycle and current status to prevent equipment failures from impacting the prioritized component's construction. Furthermore, resource inventory levels are monitored to ensure an adequate supply of materials and other resources. The module uses the vessel's spatial model to pre-plan transportation routes for prioritized component resources and optimizes them based on the current construction status and resource status. For example, if traffic is congested in the current construction area, the module will adjust the transportation route of the next-in-line component resources and select an alternate route to ensure that the resources arrive at the construction site on time. During the resource transportation process, the module will continuously monitor the dynamic location and status of the resources to ensure smooth transportation. When the current component construction is nearing completion, the module will initiate construction preparations for the next-in-line component, including cleaning the construction area, checking the integrity of equipment and materials, and arranging the handover of construction personnel. This ensures that the construction preparations for the next-in-line component can be seamlessly connected after the current component construction is completed, reducing construction intervals and improving construction efficiency.

[0105] The implementation of this module not only ensures the continuity and efficiency of ship outfitting welding operations, but also reduces construction conflicts and waiting time, thereby improving overall construction quality by optimizing resource allocation and utilization.

[0106] In summary, the embodiments of the present application have at least the following technical effects:

[0107] This application establishes a ship space model through the ship space model construction module, and associates it with the dynamically updated installation resource library to monitor the resource location and status in real time. The construction sequence analysis module generates the outfitting installation sequence and determines the construction sequence based on the welding installation process. The dual-line resource scheduling analysis module performs scheduling analysis based on the installation sequence and generates a real-time scheduling plan and a sequence pre-scheduling plan. The dual-line resource management module performs resource scheduling of the current component and resource preparation of the sequence components based on the scheduling plan to ensure an efficient and coordinated operation process.

[0108] The technical effect of optimizing spatial conflicts and scheduling sequences, and improving resource utilization efficiency and construction efficiency has been achieved through real-time resource status monitoring and dynamic scheduling.

[0109] Example 2, based on the same inventive concept as the resource optimization scheduling system for ship outfitting welding operations in the above-mentioned embodiment, Figure 2 As shown, the present application provides a resource optimization scheduling method for ship outfitting welding operations. The system and method embodiments in the present application are based on the same inventive concept. The method includes:

[0110] A ship space model is established, wherein the ship space model is associated with a dynamically updated installation resource library, wherein the installation resource library contains dynamic spatial position and status information of various resources; according to the welding installation process, each outfitting part is numbered according to the installation order and positioned in the ship space model to generate an outfitting part installation sequence, wherein a construction sequence relationship exists between each outfitting part in the outfitting part installation sequence; based on the outfitting part installation sequence, a first target component is selected, and a two-line resource scheduling analysis is performed in the ship space model to generate a real-time resource scheduling plan and a sequence resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component; based on the real-time resource scheduling plan and the sequence resource pre-scheduling plan, resource scheduling management of the current component and resource preparation of the sequence component are performed respectively.

[0111] Furthermore, the ship space model is associated with a dynamically updated installation resource library, including:

[0112] Based on the Internet of Things association module, the dynamic spatial position and status information of each installation resource are obtained in real time. The status information includes the current resource usage status, remaining available time, maintenance cycle and scheduling priority level; according to the dynamic fluctuation curve of the dynamic spatial position and status information, the active fluctuation points are captured, and the dynamic spatial position and status information of the active fluctuation points are extracted, and transmitted in real time through the resource information transmission link, so as to dynamically update the installation resource library in real time.

[0113] Furthermore, a dual-line resource scheduling analysis is performed in the ship space model, including:

[0114] The dual-line resource scheduling analysis includes two parallel generation processes of scheduling paths: main scheduling path construction and priority pre-scheduling path prediction; based on the ship space model, spatial movement line analysis and resource scheduling matching of the first target component, as well as installation pre-analysis of the first priority component, are performed to generate a real-time resource scheduling plan and a priority resource pre-scheduling plan; wherein, the first target component is an independent construction component or a parallel construction component.

[0115] Furthermore, the spatial movement line analysis and resource scheduling matching of the first target component are carried out, including:

[0116] Acquire the installation location information and resource requirement information of the first target component; based on the resource requirement information, traverse the installation resource library to perform resource matching and generate an alternative resource set, wherein the alternative resource set includes multiple alternative resources whose status values meet the resource status threshold; based on the ship space model, traverse the alternative resource set to perform construction route simulation and output multiple alternative construction routes; based on the multiple alternative construction routes, evaluate the path crossing density, traffic efficiency, safety isolation and scheduling cost, and output a construction route score set; based on the construction route score set, extract the optimal construction route, and perform alternative resource binding to generate the real-time resource scheduling solution.

[0117] Furthermore, a preliminary analysis of the installation of the first-priority components is performed, including:

[0118] The next-priority component of the first target component is extracted as the first-priority component; based on the spatial location information and construction process information of the first-priority component, spatial movement line pre-analysis and resource pre-matching are performed to generate an initial pre-scheduling plan; cross-interference analysis is performed on the first target component and the first-priority component to extract the resource interference vector of the first target component on the first-priority component; based on the resource interference vector, the initial pre-scheduling plan is optimized to generate the priority resource pre-scheduling plan.

[0119] Furthermore, performing cross-interference analysis on the first target component and the first-priority component to extract a resource interference vector of the first target component on the first-priority component includes:

[0120] A resource interference vector model is constructed based on the degree of construction time overlap, spatial traffic line overlap, and resource usage conflict. The real-time resource usage status in the installation resource library is used in combination with the resource usage data of the first target component to quantify the interference parameters of the resource interference vector model and output a multidimensional interference indicator set. Based on the multidimensional interference indicator set and in combination with the initial pre-scheduling plan, key conflict nodes are marked and interference priorities are sorted to generate the resource interference vector.

[0121] Furthermore, the first target component is an independent construction component or a parallel construction component, including:

[0122] The outfitting installation sequence includes independent construction components and parallel construction components; for the independent construction components, independent space movement line analysis and resource scheduling matching are performed to generate an independent construction scheduling plan; for the parallel construction components, cross-operation process organization is performed, and based on the generated partial cross-construction organization process, cross-space movement line analysis and resource scheduling matching are performed to generate a cross-process scheduling plan.

[0123] Furthermore, cross-operation process organization is performed for the parallel construction components, and cross-space movement line analysis and resource scheduling matching are performed based on the generated cross-section construction organization process, including:

[0124] Based on the spatial layout of the construction area and the sequence of construction tasks of the parallel construction components, a divisional organization process for cross-operations is generated; based on the divisional cross-construction organization process, the spatial overlap points and conflict points of different components in the work area are identified, and a cross-movement line impact matrix is constructed; based on the cross-movement line impact matrix, combined with the real-time resource usage data in the installation resource library, resource scheduling matching and cross-construction movement line optimization are performed to generate a cross-process scheduling plan.

[0125] Furthermore, based on the cross-movement line impact matrix and combined with the real-time resource usage data in the installation resource library, resource scheduling and matching and cross-movement line optimization are performed, including:

[0126] Based on the cross-movement line impact matrix and combined with the real-time resource usage load data in the installation resource library, the priorities of the cross-tasks are adjusted to generate a task priority sequence; according to the task priority sequence, the cross-construction movement line is optimized in the ship space model to generate the cross-process scheduling plan.

[0127] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0128] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0129] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. Resource optimization scheduling system for ship outfitting welding operations, characterized by: The system comprises: A ship space model building module is used to build a ship space model, wherein the ship space model is associated with a dynamically updated installation resource library, and the installation resource library contains dynamic spatial position and status information of various resources; Wherein, in the ship space model construction module, the ship space model is associated with a dynamically updated installation resource library, and is further used to: Based on the IoT-related module, the dynamic spatial location and status information of each installed resource is obtained in real time. The status information includes the current resource usage status, remaining available time, maintenance cycle and scheduling priority level; According to the dynamic fluctuation curve of the dynamic spatial position and state information, active fluctuation points are captured, and the dynamic spatial position and state information of the active fluctuation points are extracted, and the information is transmitted in real time through a resource information transmission link to dynamically update the installation resource library in real time; A construction sequence analysis module is used to number each outfitting component in the order of installation according to the welding installation process, locate them in the ship space model, and generate an outfitting component installation sequence. In the outfitting component installation sequence, there is a construction sequence relationship between each outfitting component; a dual-line resource scheduling analysis module, configured to select a first target component based on the outfitting installation sequence, perform dual-line resource scheduling analysis in the ship space model, and generate a real-time resource scheduling plan and a sequential resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component; Wherein, when performing dual-line resource scheduling analysis in the ship space model, the dual-line resource scheduling analysis module is further used to: The dual-line resource scheduling analysis includes two scheduling path parallel generation processes: main scheduling path construction and priority pre-arrangement path prediction; Based on the ship space model, perform spatial movement line analysis and resource scheduling matching of the first target component, as well as pre-installation analysis of the first priority component, to generate a real-time resource scheduling plan and a priority resource pre-scheduling plan; The dual-line resource management module is used to perform resource scheduling management of the current component and resource preparation of the priority component based on the real-time resource scheduling solution and the priority resource pre-scheduling solution.

2. The resource optimization scheduling system for ship outfitting welding operations according to claim 1, characterized in that: When performing spatial dynamic line analysis and resource scheduling matching for the first target component, the dual-line resource scheduling analysis module is further configured to: Obtaining installation location information and resource requirement information of the first target component; According to the resource demand information, traverse the installation resource library to perform resource matching and generate a candidate resource set, wherein the candidate resource set includes multiple candidate resources whose status values meet a resource status threshold; Based on the ship space model, traverse the candidate resource set to perform construction route simulation, and output multiple candidate construction routes; Based on the multiple alternative construction routes, evaluate the path crossing density, traffic efficiency, safety isolation and scheduling cost, and output a construction route score set; According to the construction movement line score set, the optimal construction movement line is extracted, and alternative resources are bound to generate the real-time resource scheduling solution.

3. The resource optimization scheduling system for ship outfitting welding operations according to claim 1, characterized in that: When performing the pre-installation analysis of the first-priority component, the dual-line resource scheduling analysis module is further configured to: Extract the next-order component of the first target component as the first-order component; Based on the spatial location information and construction process information of the first-priority component, perform spatial movement line pre-analysis and resource pre-matching to generate an initial pre-scheduling plan; Performing cross-interference analysis on the first target component and the first-priority component to extract a resource interference vector of the first target component on the first-priority component; Based on the resource interference vector, the initial pre-scheduling scheme is optimized to generate the prioritized resource pre-scheduling scheme.

4. The resource optimization scheduling system for ship outfitting welding operations according to claim 3, characterized in that: When performing cross-interference analysis on the first target component and the first-priority component to extract the resource interference vector of the first target component on the first-priority component, the dual-line resource scheduling analysis module is further configured to: Construct a resource interference vector model based on construction time overlap, spatial movement line overlap, and resource usage conflict. quantifying the interference parameters of the resource interference vector model by utilizing the real-time resource usage status in the installation resource library and combining it with the resource usage data of the first target component, and outputting a multi-dimensional interference indicator set; Based on a multi-dimensional interference indicator set and in combination with the initial pre-scheduling scheme, key conflicting nodes are marked and interference priorities are sorted to generate the resource interference vector.

5. The resource optimization scheduling system for ship outfitting welding operations according to claim 1, characterized in that: The dual-line resource scheduling analysis module is also used for: The outfitting installation sequence includes independent construction components and parallel construction components; For the independent construction components, independent space movement line analysis and resource scheduling matching are performed to generate an independent construction scheduling plan; For the parallel construction components, cross-operation process organization is carried out, and according to the generated cross-section construction organization process, cross-space movement line analysis and resource scheduling matching are carried out to generate a cross-process scheduling plan.

6. The resource optimization scheduling system for ship outfitting welding operations according to claim 5, characterized in that: When performing cross-space dynamic line analysis and resource scheduling matching, the dual-line resource scheduling analysis module is also used to: Generate a cross-operation divisional organization process based on the spatial layout of the construction area and the sequence of construction tasks of the parallel construction components; Based on the cross-section construction organization process, identify the spatial overlap and conflict points of different components in the work area and construct a cross-movement impact matrix; Based on the cross-movement line impact matrix and combined with the real-time resource usage data in the installation resource library, resource scheduling matching and cross-construction movement line optimization are performed to generate a cross-process scheduling plan.

7. The resource optimization scheduling system for ship outfitting welding operations according to claim 6, characterized in that: The dual-line resource scheduling analysis module is used to perform resource scheduling matching and cross-construction route optimization, and is also used to: Based on the cross-movement impact matrix and in combination with real-time resource usage load data in the installation resource library, priority of cross-movement tasks is adjusted to generate a task priority sequence; According to the task priority sequence, cross-construction movement line optimization is performed in the ship space model to generate the cross-process scheduling plan.

8. A resource optimization scheduling method for ship outfitting welding operations, characterized in that: The method is implemented by the resource optimization scheduling system for ship outfitting welding operations according to any one of claims 1 to 7, and the method comprises: Establishing a ship space model, wherein the ship space model is associated with a dynamically updated installation resource library, wherein the installation resource library contains dynamic spatial location and status information of various resources; According to the welding installation process, each outfitting part is numbered in the installation order and positioned in the ship space model to generate an outfitting part installation sequence. In the outfitting part installation sequence, there is a construction sequence relationship between each outfitting part; Based on the outfitting installation sequence, a first target component is selected, and a dual-line resource scheduling analysis is performed in the ship space model to generate a real-time resource scheduling plan and a sequential resource pre-scheduling plan, wherein the first target component is an independent construction component or a parallel construction component; Based on the real-time resource scheduling scheme and the priority resource pre-scheduling scheme, resource scheduling management of the current component and resource preparation of the priority components are performed respectively.

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